Georgetown University Law Centerhttps://lsac.org/choosing-law-school/find-law-school/llm-and-other-law-programs-us-canada/georgetown-university-law
Columbia University School of Lawhttps://lsac.org/choosing-law-school/find-law-school/llm-and-other-law-programs-us-canada/columbia-university-school
University of Minnesota Law Schoolhttps://lsac.org/choosing-law-school/find-law-school/llm-and-other-law-programs-us-canada/university-minnesota-law
University of Miami School of Lawhttps://lsac.org/choosing-law-school/find-law-school/llm-and-other-law-programs-us-canada/university-miami-school
Wayne State University Law Schoolhttps://lsac.org/choosing-law-school/find-law-school/llm-and-other-law-programs-us-canada/wayne-state-university-law
Predicting Future Academic Success: How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores (PR 19-01)https://lsac.org/data-research/research/predicting-future-academic-success-how-bayesian-approach-can-be-help
Modeling Multilevel Dependence Structures for Responses and Process Data in a Bayesian Framework (PR 19-03)https://lsac.org/data-research/research/modeling-multilevel-dependence-structures-responses-and-process-data
The Bayesian Covariance Structure Model for Testlets (PR 19-02)https://lsac.org/data-research/research/bayesian-covariance-structure-model-testlets-pr-19-02
Summary of Self-Reported Methods of Test Preparation by LSAT Takers for Testing Years 2014–2015 Through 2017–2018 (TR 18-03)https://lsac.org/data-research/research/summary-self-reported-methods-test-preparation-lsat-takers-testing-years-1
Bayesian Marginal Joint Models for Responses and Process Data (PR 18-03)https://lsac.org/data-research/research/bayesian-marginal-joint-models-responses-and-process-data-pr-18-03
